NDLI: The application of an algebraic design method to deal with oracle problem in object-oriented class level testing

Content Provider	IEEE Xplore Digital Library
Author	Chen Huo Yan
Copyright Year	1999
Description	Author affiliation: Dept. of Comput. Sci., Jinan Univ., Guangzhou, China (Chen Huo Yan)
Abstract	In order to ensure reliability and quality, software systems must be tested. The testing includes generating test cases, executing test cases on the program, and determining whether the results of execution conform to requirements. The last is called the oracle problem. The oracle problem is important but difficult as the program yields the results in a way which may depend on some representation choices and makes the comparison with the specified results difficult. The class level testing is considered to be basic in object-oriented software testing. Breu et al. (1998) proposed an algebraic design methodology for object-based systems. We found that this design methodology can be used to deal with the oracle problem in object-oriented class level testing. Given an algebraic specification for a class, suppose the equivalent ground terms u/sub 1//spl sim/u/sub 2/ are selected as a test case. Using the representation function rep() provided by Breu's algebraic design methodology, u/sub 1/ and u/sub 2/ can be mapped to method sequences s/sub 1/ and s/sub 2/ in the implementation, respectively. Executing s/sub 1/ and s/sub 2/ in the implementation, we obtain accordingly two objects O/sub 1/ and O/sub 2/ of the given class.
Starting Page	928
Ending Page	932
File Size	432015
Page Count	5
File Format	PDF
ISBN	0780357310
ISSN	1062922X
DOI	10.1109/ICSMC.1999.814216
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1999-10-12
Publisher Place	Japan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Design methodology Software testing System testing Object oriented modeling Application software Computer science Software systems Clustering algorithms Software algorithms Automata
Content Type	Text
Resource Type	Article

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